# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""
AIO -- All Trains in One
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.nn.parameter import Parameter
from torch.nn.init import xavier_uniform, xavier_normal, orthogonal

from trains.multiTask import *

__all__ = ['ATIO']

class ATIO():
    def __init__(self):
        self.TRAIN_MAP = {
           'self_mm': SELF_MM,
        }
    
    def getTrain(self, args):
        return self.TRAIN_MAP[args.modelName.lower()](args)
